{"id":3025,"date":"2017-03-04T22:23:02","date_gmt":"2017-03-04T20:23:02","guid":{"rendered":"http:\/\/ddni.ro\/wps\/?page_id=3025"},"modified":"2025-09-18T17:34:25","modified_gmt":"2025-09-18T14:34:25","slug":"visibility","status":"publish","type":"page","link":"https:\/\/ddni.ro\/wps\/departments\/ecological-restoration-and-species-recovery\/visibility\/","title":{"rendered":"Visibility"},"content":{"rendered":"

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_builder_version=”4.27.4″ tab_text_color=”#ffffff” body_font=”Roboto||||” tab_font=”Roboto Condensed|on||on|” tab_line_height=”3em” background_color=”#eaeaea” background_size=”initial” background_position=”top_left” background_repeat=”repeat” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][et_pb_tab title=”ISI Publications” _builder_version=”4.27.4″ body_font=”||||” body_line_height=”2em” tab_font=”||||” background_size=”initial” background_position=”top_left” background_repeat=”repeat” hover_enabled=”0″ body_line_height_tablet=”2em” body_line_height_phone=”2em” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
No. crt.<\/td>\nAuthors<\/td>\nArticle title<\/td>\nScientific journal and no.<\/td>\nYear<\/td>\nNo. pag.<\/td>\nWOS<\/td>\nArticle Link\u00a0<\/td>\nImpact Factor\u00a0<\/td>\nQuartiles of indexed journals<\/td>\n<\/tr>\n
1<\/td>\nNiculescu S.; Boissonnat J.-B.; Lardeux C.; Roberts D.; Hanganu J.; Billey A.; Constantinescu A.; Doroftei M.<\/td>\nSynergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the Danube Delta<\/td>\nREMOTE SENSING, Volume 12,\u00a0 Issue 14\u00a0<\/td>\n2020<\/td>\n29<\/td>\nWOS:000557191700001<\/td>\nLink<\/a><\/td>\n5.1<\/td>\nQ1<\/td>\n<\/tr>\n
2<\/td>\nT\u00eerl\u0103 L.; Dr\u0103gu\u0219in V.; Bajo P.; Covaliov S.; Cruceru N.; Ersek V.; Hanganu D.; Hellstrom J.; Hoffmann D.; Mirea I.; Sava T.; Sava G.; \u015eandric I.<\/td>\nQuaternary environmental evolution in the South Carpathians reconstructed from glaciokarst geomorphology and sedimentary archives<\/td>\nGEOMORPHOLOGY, Volume 354<\/td>\n2020<\/td>\n21<\/td>\nWOS:000527297100018<\/td>\nLink<\/a><\/td>\n4.139<\/td>\nQ1<\/td>\n<\/tr>\n
3<\/td>\nBirk S.; Chapman D.; Carvalho L.; Spears B.M.; Andersen H.E.; Argillier C.; Auer S.; Baattrup-Pedersen A.; Banin L.; Beklio\u011flu M.; Bondar-Kunze E.; Borja A.; Branco P.; Bucak T.; Buijse A.D.; Cardoso A.C.; Couture R.-M.; Cremona F.; de Zwart D.; Feld C.K.; Ferreira M.T.; Feuchtmayr H.; Gessner M.O.; Gieswein A.; Globevnik L.; Graeber D.; Graf W.; Guti\u00e9rrez-C\u00e1novas C.; Hanganu J.; I\u015fk\u0131n U.; J\u00e4rvinen M.; Jeppesen E.; Kotam\u00e4ki N.; Kuijper M.; Lemm J.U.; Lu S.; Solheim A.L.; Mischke U.; Moe S.J.; N\u00f5ges P.; N\u00f5ges T.; Ormerod S.J.; Panagopoulos Y.; Phillips G.; Posthuma L.; Pouso S.; Prudhomme C.; Rankinen K.; Rasmussen J.J.; Richardson J.; Sagouis A.; Santos J.M.; Sch\u00e4fer R.B.; Schinegger R.; Schmutz S.; Schneider S.C.; Sch\u00fclting L.; Segurado P.; Stefanidis K.; Sures B.; Thackeray S.J.; Turunen J.; Uyarra M.C.; Venohr M.; von der Ohe P.C.; Willby N.; Hering D.<\/td>\nImpacts of multiple stressors on freshwater biota across spatial scales and ecosystems<\/td>\nNATURE ECOLOGY & EVOLUTION, Volume 4, Issue 8<\/td>\n2020<\/td>\n8<\/td>\nWOS:000540400700002<\/td>\nLink<\/a><\/td>\n15.46<\/td>\nQ1<\/td>\n<\/tr>\n
4<\/td>\nYousefi S.; Avand M.; Yariyan P.; Jahanbazi Goujani H.; Costache R.; Tavangar S.; Tiefenbacher J.P.<\/td>\nIdentification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran<\/td>\nECOLOGICAL INFORMATICS, Volume 65<\/td>\n2021<\/td>\n10<\/td>\nWOS:000704529300002<\/td>\nLink<\/a><\/td>\n3.142<\/td>\nQ1<\/td>\n<\/tr>\n
5<\/td>\nHa D.H.; Nguyen P.T.; Costache R.; Al-Ansari N.; Van Phong T.; Nguyen H.D.; Amiri M.; Sharma R.; Prakash I.; Van Le H.; Nguyen H.B.T.; Pham B.T.<\/td>\nQuadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping<\/td>\nWATER RESOURCES MANAGEMENT, Volume 35, Issue 13<\/td>\n2021<\/td>\n18<\/td>\nWOS:000694580000001<\/td>\nLink<\/a><\/td>\n3.517<\/td>\nQ1<\/td>\n<\/tr>\n
6<\/td>\nPham B.T.; Van Dao D.; Acharya T.D.; Van Phong T.; Costache R.; Van Le H.; Nguyen H.B.T.; Prakash I.<\/td>\nPerformance assessment of artificial neural network using chi-square and backward elimination feature selection methods for landslide susceptibility analysis<\/td>\nENVIRONMENTAL EARTH SCIENCES, Volume 80, Issue 20<\/td>\n2021<\/td>\n13<\/td>\nWOS:000703889600004<\/td>\nLink<\/a><\/td>\n2.784<\/td>\nQ2<\/td>\n<\/tr>\n
7<\/td>\nPandey M.; Arora A.; Arabameri A.; Costache R.; Kumar N.; Mishra V.N.; Nguyen H.; Mishra J.; Siddiqui M.A.; Ray Y.; Soni S.; Shukla U.K.<\/td>\nFlood Susceptibility Modeling in a Subtropical Humid Low-Relief Alluvial Plain Environment: Application of Novel Ensemble Machine Learning Approach<\/td>\nFRONTIERS IN EARTH SCIENCE, Volume 9<\/td>\n2021<\/td>\n26<\/td>\nWOS:000739065200001<\/td>\nLink<\/a><\/td>\n3.498<\/td>\nQ2<\/td>\n<\/tr>\n
8<\/td>\nHon\u0163 S.; Oprea D.; Oprea L.<\/td>\nHistorical Overview of Sturgeon Fishery in the Lower Danube River<\/td>\nACTA ZOOLOGICA BULGARICA, Volume 73, Issue 1<\/td>\n2021<\/td>\n9<\/td>\nWOS:000647286300001<\/td>\nLink<\/a><\/td>\n0.448<\/td>\nQ4<\/td>\n<\/tr>\n
9<\/td>\nDorondel, Stefan; Serban, Stelu; Tudor, Marian<\/td>\nEcological Restoration in Liquid Societies Lessons from Eastern Europe<\/td>\nNATURE + CULTURE, Volume 16, Issue 2<\/td>\n2021<\/td>\n31<\/td>\nWOS:000659896800005<\/td>\nLink<\/a><\/td>\n1.029<\/td>\nQ4<\/td>\n<\/tr>\n
10<\/td>\nLenhardt M.B.; Smederevac-Lali\u0107 M.M.; Spasi\u0107 S.Z.; Hon\u0163 \u015e.; Paraschiv M.; Iani M.I.; Nik\u010devi\u0107 M.V.; Klimley P.A.; Suciu R.<\/td>\nSeasonal changes in depth position and temperature of European catfish (Silurus glanis) tracked by acoustic telemetry in the Danube River<\/td>\nINTERNATIONAL REVIEW OF HYDROBIOLOGY, Volume 106, Issue 3-4<\/td>\n2021<\/td>\n10<\/td>\nWOS:000632483000001<\/td>\nLink<\/a><\/td>\n2<\/td>\nQ3<\/td>\n<\/tr>\n
11<\/td>\nCostache R.; Arabameri A.; Costache I.; Cr\u0103ciun A.; Pham B.T.<\/td>\nNew Machine Learning Ensemble for Flood Susceptibility Estimation<\/td>\nWATER RESOURCES MANAGEMENT, Volume 36, Issue 12<\/td>\n2022<\/td>\n18<\/td>\nWOS:000844465500001<\/td>\nLink<\/a><\/td>\n4.426<\/td>\nQ1<\/td>\n<\/tr>\n
12<\/td>\nManzar M.S.; Benaafi M.; Costache R.; Alagha O.; Mu’azu N.D.; Zubair M.; Abdullahi J.; Abba S.I.<\/td>\nNew generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia<\/td>\nECOLOGICAL INFORMATICS, Volume 70<\/td>\n2022<\/td>\n14<\/td>\nWOS:000812362600005<\/td>\nLink<\/a><\/td>\n3.142<\/td>\nQ1<\/td>\n<\/tr>\n
13<\/td>\nCr\u0103ciun A.; Costache R.; B\u0103rbulescu A.; Pal S.C.; Costache I.; Dumitriu C.\u00da.<\/td>\nModern Techniques for Flood Susceptibility Estimation across the Deltaic Region (Danube Delta) from the Black Sea’s Romanian Sector<\/td>\nJOURNAL OF MARINE SCIENCE AND ENGINEERING, Volume 10, Issue 8<\/td>\n2022<\/td>\n19<\/td>\nWOS:000845631300001<\/td>\nLink<\/a><\/td>\n2.744<\/td>\nQ1<\/td>\n<\/tr>\n
14<\/td>\nShang L.; Nguyen H.; Bui X.-N.; Vu T.H.; Costache R.; Hanh L.T.M.<\/td>\nToward state-of-the-art techniques in predicting and controlling slope stability in open-pit mines based on limit equilibrium analysis, radial basis function neural network, and brainstorm optimization<\/td>\nACTA GEOTECHNICA,\u00a0 Volume 17, Issue 4<\/td>\n2022<\/td>\n19<\/td>\nWOS:000708402600002<\/td>\nLink<\/a><\/td>\n5.856<\/td>\nQ1<\/td>\n<\/tr>\n
15<\/td>\nCostache R.; Arabameri A.; Costache I.; Cr\u0103ciun A.; Md Towfiqul Islam A.R.; Abba S.I.; Sahana M.; Pham B.T.<\/td>\nFlood susceptibility evaluation through deep learning optimizer ensembles and GIS techniques<\/td>\nJOURNAL OF ENVIRONMENTAL MANAGEMENT, Volume 316<\/td>\n2022<\/td>\n15<\/td>\nWOS:000806216500005<\/td>\nLink<\/a><\/td>\n8.91<\/td>\nQ1<\/td>\n<\/tr>\n
16<\/td>\nCostache R.; Trung Tin T.; Arabameri A.; Cr\u0103ciun A.; Ajin R.S.; Costache I.; Reza Md. Towfiqul Islam A.; Abba S.I.; Sahana M.; Avand M.; Thai Pham B.<\/td>\nFlash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis<\/td>\nJOURNAL OF HYDROLOGY, Volume 609<\/td>\n2022<\/td>\n17<\/td>\nWOS:000788729000003<\/td>\nLink<\/a><\/td>\n6.708<\/td>\nQ1<\/td>\n<\/tr>\n
17<\/td>\nNguyen M.D.; Costache R.; Sy A.H.; Ahmadzadeh H.; Van Le H.; Prakash I.; Pham B.T.<\/td>\nNovel approach for soil classification using machine learning methods<\/td>\nBULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, Volume 81, Issue 11<\/td>\n2022<\/td>\n17<\/td>\nWOS:000865761600001<\/td>\nLink<\/a><\/td>\n4.2<\/td>\nQ2<\/td>\n<\/tr>\n
18<\/td>\nWen T.; Tiewang W.; Arabameri A.; Asadi Nalivan O.; Pal S.C.; Saha A.; Costache R.<\/td>\nLand-subsidence susceptibility mapping: assessment of an adaptive neuro-fuzzy inference system-genetic algorithm hybrid model<\/td>\nGEOCARTO INTERNATIONAL, Volume 37, Issue 26<\/td>\n2022<\/td>\n24<\/td>\nWOS:000800186800001<\/td>\nLink<\/a><\/td>\n3.8<\/td>\nQ2<\/td>\n<\/tr>\n
19<\/td>\nCostache R.; Tin T.T.; Arabameri A.; Cr\u0103ciun A.; Costache I.; Islam A.R.M.T.; Sahana M.; Pham B.T.<\/td>\nStacking state-of-the-art ensemble for flash-flood potential assessment<\/td>\nGEOCARTO INTERNATIONAL, Volume 37, Issue 26<\/td>\n2022<\/td>\n26<\/td>\nWOS:000807057400001<\/td>\nLink<\/a><\/td>\n3.8<\/td>\nQ2<\/td>\n<\/tr>\n
20<\/td>\nAbdo H.G.; Almohamad H.; Al Dughairi A.A.; Ali S.A.; Parvin F.; Elbeltagi A.; Costache R.; Mohammed S.; Al-Mutiry M.; Alsafadi K.<\/td>\nSpatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous Governorate, Syria<\/td>\nGEOSCIENCE LETTERS, Volume 9, Issue 1<\/td>\n2022<\/td>\n24<\/td>\nWOS:000904136700001<\/td>\nLink<\/a><\/td>\n4<\/td>\nQ2<\/td>\n<\/tr>\n
21<\/td>\nYu H.; Arabameri A.; Costache R.; Cr\u0103ciun A.; Arora A.<\/td>\nLand subsidence susceptibility assessment using advanced artificial intelligence models<\/td>\nGEOCARTO INTERNATIONAL, Volume 37, Issue 27<\/td>\n2022<\/td>\n26<\/td>\nWOS:000871801600001<\/td>\nLink<\/a><\/td>\n3.8<\/td>\nQ2<\/td>\n<\/tr>\n
22<\/td>\nBien T.X.; Truyen P.T.; Phong T.V.; Nguyen D.D.; Amiri M.; Costache R.; Duc D.M.; Le H.V.; Nguyen H.B.T.; Prakash I.; Pham B.T.<\/td>\nLandslide susceptibility mapping at sin Ho, Lai Chau province, Vietnam using ensemble models based on fuzzy unordered rules induction algorithm<\/td>\nGEOCARTO INTERNATIONAL, Volume 37, Issue 27<\/td>\n2022<\/td>\n21<\/td>\nWOS:000871800600001<\/td>\nLink<\/a><\/td>\n3.8<\/td>\nQ2<\/td>\n<\/tr>\n
23<\/td>\nCostache R.; Ali S.A.; Parvin F.; Pham Q.B.; Arabameri A.; Nguyen H.; Cr\u0103ciun A.; Anh D.T.<\/td>\nDetection of areas prone to flood-induced landslides risk using certainty factor and its hybridization with FAHP, XGBoost and deep learning neural network<\/td>\nGEOCARTO INTERNATIONAL, Volume 37, Issue 25<\/td>\n2022<\/td>\n35<\/td>\nWOS:000695477900001<\/td>\nLink<\/a><\/td>\n3.8<\/td>\nQ2<\/td>\n<\/tr>\n
24<\/td>\nCostache R.; Pham Q.B.; Arabameri A.; Diaconu D.C.; Costache I.; Cr\u0103ciun A.; Ciobotaru N.; Pandey M.; Arora A.; Ali S.A.; Pham B.T.; Nguyen H.; Tuan H.A.; Avand M.<\/td>\nFlash-flood propagation susceptibility estimation using weights of evidence and their novel ensembles with multicriteria decision making and machine learning<\/td>\nGEOCARTO INTERNATIONAL, Volume 37, Issue 25<\/td>\n2022<\/td>\n32<\/td>\nWOS:000718761900001<\/td>\nLink<\/a><\/td>\n3.8<\/td>\nQ2<\/td>\n<\/tr>\n
25<\/td>\n\u00a0Hon\u021b S.*,Paraschiv M., Iani I.M.<\/td>\nPreliminary migratory fish habitats assessment along the Danube River sector km 863-375<\/td>\nNORTH-WESTERN JOURNAL OF ZOOLOGY, Volume 18, Issue 1<\/td>\n2022<\/td>\n5<\/td>\nWOS:000814087800005<\/td>\nLink<\/a><\/td>\n1<\/td>\nQ4<\/td>\n<\/tr>\n
26<\/td>\nAjin R.S.; Saha S.; Saha A.; Biju A.; Costache R.; Kuriakose S.L.<\/td>\nEnhancing the Accuracy of the REPTree by Integrating the Hybrid Ensemble Meta-Classifiers for Modelling the Landslide Susceptibility of Idukki District, South-western India<\/td>\nJOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, Volume 50, Issue 11<\/td>\n2022<\/td>\n20<\/td>\nWOS:000842893600001<\/td>\nLink<\/a><\/td>\n1.563<\/td>\nQ4<\/td>\n<\/tr>\n
27<\/td>\nHilton E.J.; Dillman C.B.; Paraschiv M.; Suciu R.<\/td>\nCranial morphology of the Stellate Sturgeon,Acipenser stellatusPallas 1771 (Acipenseriformes, Acipenseridae), with notes on the skulls of other sturgeons<\/td>\nACTA ZOOLOGICA, Volume 103, Issue 1<\/td>\n2022<\/td>\n20<\/td>\nWOS:000576657900001<\/td>\nLink<\/a><\/td>\n1.261<\/td>\nQ3<\/td>\n<\/tr>\n
28<\/td>\nRuidas D.; Saha A.; Islam A.R.M.T.; Costache R.; Pal S.C.<\/td>\nDevelopment of geo-environmental factors controlled flash flood hazard map for emergency relief operation in complex hydro-geomorphic environment of tropical river, India<\/td>\nENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,\u00a0 Volume 30, Issue 49<\/td>\n2023<\/td>\n15<\/td>\nWOS:000867619700011<\/td>\nLink<\/a><\/td>\n\u00a0<\/td>\nQ1<\/td>\n<\/tr>\n
29<\/td>\nPal S.C.; Chakrabortty R.; Towfiqul Islam A.R.M.; Roy P.; Chowdhuri I.; Saha A.; Islam A.; Costache R.; Alam E.<\/td>\nLand use and climate change-induced soil erosion mapping in a sub-tropical environment<\/td>\nGEOMATICS NATURAL HAZARDS & RISK,\u00a0 Volume 14, Issue 1<\/td>\n2023<\/td>\n26<\/td>\nWOS:001093392200001<\/td>\nLink<\/a><\/td>\n4.5<\/td>\nQ1<\/td>\n<\/tr>\n
30<\/td>\nSenan C.P.C.; Ajin R.S.; Danumah J.H.; Costache R.; Arabameri A.; Rajaneesh A.; Sajinkumar K.S.; Kuriakose S.L.<\/td>\nFlood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models<\/td>\nSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,\u00a0 Volume 37, Issue 2<\/td>\n2023<\/td>\n29<\/td>\nWOS:000828290300001<\/td>\nLink<\/a><\/td>\n3.9<\/td>\nQ1<\/td>\n<\/tr>\n
31<\/td>\nBiswas T.; Pal S.C.; Ruidas D.; Saha A.; Shit M.; Islam A.R.M.T.; Islam A.; Costache R.<\/td>\nEvaluation of groundwater contamination and associated human health risk in a water-scarce hard rock-dominated region of India: Issues, management measures and policy recommendation<\/td>\nGROUNDWATER FOR SUSTAINABLE DEVELOPMENT, Volume 23<\/td>\n2023<\/td>\n15<\/td>\nWOS:001120018800001<\/td>\nLink<\/a><\/td>\n4.9<\/td>\nQ1<\/td>\n<\/tr>\n
32<\/td>\nBien T.X.; Iqbal M.; Jamal A.; Nguyen D.D.; Van Phong T.; Costache R.; Ho L.S.; Van Le H.; Nguyen H.B.T.; Prakash I.; Pham B.T.<\/td>\nIntegration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas<\/td>\nSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,\u00a0 Volume 37, Issue 12<\/td>\n2023<\/td>\n19<\/td>\nWOS:001041455300001<\/td>\nLink<\/a><\/td>\n3.9<\/td>\nQ1<\/td>\n<\/tr>\n
33<\/td>\nSinha A.; Nikhil S.; Ajin R.S.; Danumah J.H.; Saha S.; Costache R.; Rajaneesh A.; Sajinkumar K.S.; Amrutha K.; Johny A.; Marzook F.; Mammen P.C.; Abdelrahman K.; Fnais M.S.; Abioui M.<\/td>\nWildfire Risk Zone Mapping in Contrasting Climatic Conditions: An Approach Employing AHP and F-AHP Models<\/td>\nFIRE-SWITZERLAND, Volume 6, Issue 2<\/td>\n2023<\/td>\n33<\/td>\nWOS:000939292900001<\/td>\nLink<\/a><\/td>\n3<\/td>\nQ1<\/td>\n<\/tr>\n
34<\/td>\nChandra N.; Singh G.; Rai I.D.; Mishra A.P.; Kazmi M.Y.; Pandey A.; Jalal J.S.; Costache R.; Almohamad H.; Al-Mutiry M.; Abdo H.G.<\/td>\nPredicting Distribution and Range Dynamics of Three Threatened Cypripedium Species under Climate Change Scenario in Western Himalaya<\/td>\nFORESTS, Volume 14, Issue 3<\/td>\n2023<\/td>\n16<\/td>\nWOS:000958137800001<\/td>\nLink<\/a><\/td>\n2.4<\/td>\nQ1<\/td>\n<\/tr>\n
35<\/td>\nPandey A.; Shekhar Sarkar M.; Palni S.; Parashar D.; Singh G.; Kaushik S.; Chandra N.; Costache R.; Pratap Singh A.; Pratap Mishra A.; Almohamad H.; Al-Mutiry M.; Abdo H.G.<\/td>\nMultivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western Himalaya<\/td>\nGEOMATICS NATURAL HAZARDS & RISK,\u00a0 Volume 14, Issue 1<\/td>\n2023<\/td>\n23<\/td>\nWOS:001031506300001<\/td>\nLink<\/a><\/td>\n4.5<\/td>\nQ1<\/td>\n<\/tr>\n
36<\/td>\nShelar R.S.; Nandgude S.B.; Pande C.B.; Costache R.; El-Hiti G.A.; Tolche A.D.; Son C.T.; Yadav K.K.<\/td>\nUnlocking the hidden potential: groundwater zone mapping using AHP, remote sensing and GIS techniques<\/td>\nGEOMATICS NATURAL HAZARDS & RISK,\u00a0 Volume 14, Issue 1<\/td>\n2023<\/td>\n27<\/td>\nWOS:001085649800001<\/td>\nLink<\/a><\/td>\n4.5<\/td>\nQ1<\/td>\n<\/tr>\n
37<\/td>\nJannat J.N.; Mia M.Y.; Jion M.M.M.F.; Islam M.S.; Ali M.M.; Siddique M.A.B.; Rakib M.R.J.; Ibrahim S.M.; Pal S.C.; Costache R.; Malafaia G.; Islam A.R.M.T.<\/td>\nPollution trends and ecological risks of heavy metal(loid)s in coastal zones of Bangladesh: A chemometric review<\/td>\nMARINE POLLUTION BULLETIN, Volume 191<\/td>\n2023<\/td>\n17<\/td>\nWOS:000990389400001<\/td>\nLink<\/a><\/td>\n5.3<\/td>\nQ1<\/td>\n<\/tr>\n
38<\/td>\nCostache R.; Abdo H.G.; Pratap Mishra A.; Pal S.C.; Islam A.R.M.T.; Pande C.B.; Almohamad H.; Abdullah Al Dughairi A.; Albanai J.A.<\/td>\nUsing fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, Romania<\/td>\nGEOMATICS NATURAL HAZARDS & RISK,\u00a0 Volume 14, Issue 1<\/td>\n2023<\/td>\n29<\/td>\nWOS:001107718200001<\/td>\nLink<\/a><\/td>\n4.5<\/td>\nQ1<\/td>\n<\/tr>\n
39<\/td>\nMia M.U.; Chowdhury T.N.; Chakrabortty R.; Pal S.C.; Al-Sadoon M.K.; Costache R.; Islam A.R.M.T.<\/td>\nFlood Susceptibility Modeling Using an Advanced Deep Learning-Based Iterative Classifier Optimizer<\/td>\nLAND, Volume 12, Issue 4<\/td>\n2023<\/td>\n26<\/td>\nWOS:000978979100001<\/td>\nLink<\/a><\/td>\n3.2<\/td>\nQ2<\/td>\n<\/tr>\n
40<\/td>\nBiswas T.; Pal S.C.; Ruidas D.; Islam A.R.M.T.; Saha A.; Costache R.; Shit M.<\/td>\nModelling of groundwater potential zone in hard rock-dominated drought-prone region of eastern India using integrated geospatial approach<\/td>\nENVIRONMENTAL EARTH SCIENCES, Volume 82, Issue 3<\/td>\n2023<\/td>\n17<\/td>\nWOS:000921152400002<\/td>\nLink<\/a><\/td>\n2.8<\/td>\nQ2<\/td>\n<\/tr>\n
41<\/td>\nNgo H.T.T.; Dam N.D.; Bui Q.-A.T.; Al-Ansari N.; Costache R.; Ha H.; Bui Q.D.; Mai S.H.; Prakash I.; Pham B.T.<\/td>\nPrediction of Flash Flood Susceptibility of Hilly Terrain Using Deep Neural Network: A Case Study of Vietnam<\/td>\nCMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, Volume 135, Issue 3<\/td>\n2023<\/td>\n22<\/td>\nWOS:000924481700014<\/td>\nLink<\/a><\/td>\n2.2<\/td>\nQ2<\/td>\n<\/tr>\n
42<\/td>\nBhagya S.B.; Sumi A.S.; Balaji S.; Danumah J.H.; Costache R.; Rajaneesh A.; Gokul A.; Chandrasenan C.P.; Quevedo R.P.; Johny A.; Sajinkumar K.S.; Saha S.; Ajin R.S.; Mammen P.C.; Abdelrahman K.; Fnais M.S.; Abioui M.<\/td>\nLandslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps<\/td>\nLAND, Volume 12, Issue 2<\/td>\n2023<\/td>\n29<\/td>\nWOS:000940541500001<\/td>\nLink<\/a><\/td>\n3.2<\/td>\nQ2<\/td>\n<\/tr>\n
43<\/td>\nRashid M.; Haider S.; Masood M.U.; Pande C.B.; Tolche A.D.; Alshehri F.; Costache R.; Elkhrachy I.<\/td>\nSustainable Water Management for Small Farmers with Center-Pivot Irrigation: A Hydraulic and Structural Design Perspective<\/td>\nSUSTAINABILITY, Volume 15, Issue 3<\/td>\n2023<\/td>\n29<\/td>\nWOS:001116488200001<\/td>\nLink<\/a><\/td>\n3.3<\/td>\nQ2<\/td>\n<\/tr>\n
44<\/td>\nHaider S.; Masood M.U.; Rashid M.; Alshehri F.; Pande C.B.; Katipo\u011flu O.M.; Costache R.<\/td>\nSimulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios<\/td>\nWATER, Volume 15, Issue 19<\/td>\n2023<\/td>\n26<\/td>\nWOS:001081169800001<\/td>\nLink<\/a><\/td>\n3<\/td>\nQ2<\/td>\n<\/tr>\n
45<\/td>\nHabib M.A.; Islam A.R.M.T.; Varol M.; Phoungthong K.; Khan R.; Islam M.S.; Hasanuzzaman M.; Mia M.Y.; Costache R.; Pal S.C.<\/td>\nReceptor model-based source-specific health risks of toxic metal(loid)s in coal basin-induced agricultural soil in northwest Bangladesh<\/td>\nENVIRONMENTAL GEOCHEMISTRY AND HEALTH, Volume 45, Issue 11<\/td>\n2023<\/td>\n25<\/td>\nWOS:001064905300003<\/td>\nLink<\/a><\/td>\n3.2<\/td>\nQ2<\/td>\n<\/tr>\n
46<\/td>\nPande C.B.; Costache R.; Sammen S.S.; Noor R.; Elbeltagi A.<\/td>\nCombination of data-driven models and best subset regression for predicting the standardized precipitation index (SPI) at the Upper Godavari Basin in India<\/td>\nTHEORETICAL AND APPLIED CLIMATOLOGY, Volume 152, Issue 1-2<\/td>\n2023<\/td>\n23<\/td>\nWOS:000957876300002<\/td>\nLink<\/a><\/td>\n2.8<\/td>\nQ3<\/td>\n<\/tr>\n
47<\/td>\nTuyen T.T.; Al-Ansari N.; Nguyen D.D.; Le H.M.; Phan T.N.Q.; Prakash I.; Costache R.; Pham B.T.<\/td>\nPrediction of white spot disease susceptibility in shrimps using decision trees based machine learning models<\/td>\nAPPLIED WATER SCIENCE, Volume 14, Issue 1<\/td>\n2024<\/td>\n15<\/td>\nWOS:001117681700002<\/td>\nLink<\/a><\/td>\n5.7<\/td>\nQ1<\/td>\n<\/tr>\n
48<\/td>\nDiaconu D.C.; Costache R.; Towfiqul Islam A.R.M.; Pandey M.; Pal S.C.; Mishra A.P.; Pande C.B.<\/td>\nDeveloping flood mapping procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania<\/td>\nJOURNAL OF HYDROLOGY-REGIONAL STUDIES, Volume 54<\/td>\n2024<\/td>\n22<\/td>\nWOS:001269424900001<\/td>\nLink<\/a><\/td>\n5<\/td>\nQ1<\/td>\n<\/tr>\n
49<\/td>\nPande C.B.; Egbueri J.C.; Costache R.; Sidek L.M.; Wang Q.; Alshehri F.; Din N.M.; Gautam V.K.; Chandra Pal S.<\/td>\nPredictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development<\/td>\nJOURNAL OF CLEANER PRODUCTION, Volume 444<\/td>\n2024<\/td>\n17<\/td>\nWOS:001199069000001<\/td>\nLink<\/a><\/td>\n10<\/td>\nQ1<\/td>\n<\/tr>\n
50<\/td>\nCostache R.; Arabameri A.; Costache I.; Cr\u0103ciun A.; Islam A.R.M.T.; Abba S.I.; Sahana M.; Pandey M.; Tin T.T.; Pham B.T.<\/td>\nFlood hazard potential evaluation using decision tree state-of-the-art models<\/td>\nRISK ANALYSIS,\u00a0 Volume 14, Issue 1<\/td>\n2024<\/td>\n19<\/td>\nWOS:001016646900001<\/td>\nLink<\/a><\/td>\n3.3<\/td>\nQ1<\/td>\n<\/tr>\n
51<\/td>\nCostache R.; Pal S.C.; Pande C.B.; Islam A.R.M.T.; Alshehri F.; Abdo H.G.<\/td>\nFlood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning<\/td>\nAPPLIED WATER SCIENCE, Volume 14, Issue 4<\/td>\n2024<\/td>\n23<\/td>\nWOS:001185742400008<\/td>\nLink<\/a><\/td>\n5.7<\/td>\nQ1<\/td>\n<\/tr>\n
52<\/td>\nAlam M.M.; Akter M.Y.; Islam A.R.M.T.; Mallick J.; Kabir Z.; Chu R.; Arabameri A.; Pal S.C.; Masud M.A.A.; Costache R.; Senapathi V.<\/td>\nA review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models<\/td>\nJOURNAL OF ENVIRONMENTAL MANAGEMENT, Volume 351<\/td>\n2024<\/td>\n20<\/td>\nWOS:001133998400001<\/td>\nLink<\/a><\/td>\n8.4<\/td>\nQ1<\/td>\n<\/tr>\n
53<\/td>\nPandey A.; Parashar D.; Palni S.; Sarkar M.S.; Mishra A.P.; Singh A.P.; Costache R.; Abdulqadim T.J.; Pande C.B.; Tolche A.D.; Khan M.Y.A.<\/td>\nSpatiotemporal snowline status and climate variability impact assessment: a case study of Pindari River Basin, Kumaun Himalaya, India<\/td>\nENVIRONMENTAL SCIENCES EUROPE, Volume 36, Issue 1<\/td>\n2024<\/td>\n13<\/td>\nWOS:001229355200001<\/td>\nLink<\/a><\/td>\n6<\/td>\nQ1<\/td>\n<\/tr>\n
54<\/td>\nCostache R.; Cr\u0103ciun A.; Ciobotaru N.; B\u0103rbulescu A.<\/td>\nIntelligent Methods for Estimating the Flood Susceptibility in the Danube Delta, Romania<\/td>\nWATER, Volume 16, Issue 23<\/td>\n2024<\/td>\n18<\/td>\nWOS:001377448700001<\/td>\nLink<\/a><\/td>\n3<\/td>\nQ2<\/td>\n<\/tr>\n
55<\/td>\nThanh B.N.; Van Phong T.; Trinh P.T.; Costache R.; Amiri M.; Nguyen D.D.; Le H.V.; Prakash I.; Pham B.T.<\/td>\nPrediction of coastal erosion susceptible areas of Quang Nam Province, Vietnam using machine learning models<\/td>\nEARTH SCIENCE INFORMATICS, Volume 17, Issue 1<\/td>\n2024<\/td>\n18<\/td>\nWOS:001112828800001<\/td>\nLink<\/a><\/td>\n3<\/td>\nQ2<\/td>\n<\/tr>\n
56<\/td>\nZhao L.; Wilson S.B.; Van Thieu N.; Zhou J.; Costache R.; Tran T.T.<\/td>\nA new intelligence model for evaluating clay compressibility in soft ground improvement: a combined approach of bees optimization and extreme learning machine<\/td>\nACTA GEOPHYSICA, Volume 72, Issue 2<\/td>\n2024<\/td>\n16<\/td>\nWOS:001088291500001<\/td>\nLink<\/a><\/td>\n2.1<\/td>\nQ2<\/td>\n<\/tr>\n
57<\/td>\nDandapat K.; Chatterjee U.; Das S.; Patra A.; Manna H.; Ghosh A.; Pal S.C.; Towfiqul Islam A.R.M.; Costache R.; Alam E.; Islam M.K.<\/td>\nAssessment of groundwater potential zones in data-scarce regions using GIS-based multicriteria decision making approach<\/td>\nGEOCARTO INTERNATIONAL, Volume 39, Issue 1<\/td>\n2024<\/td>\n21<\/td>\nWOS:001160557800001<\/td>\nLink<\/a><\/td>\n3.5<\/td>\nQ2<\/td>\n<\/tr>\n
58<\/td>\nAjin, RS; Costache, R; Barbulescu, A; Fanti, R; Segoni, S<\/td>\nFlood Susceptibility Assessment Using Multi-Tier Feature Selection and Ensemble Boosting Machine Learning Models<\/td>\nWATER, Volume 17, Issue 14<\/td>\n2025<\/td>\n25<\/td>\nWOS:001539645100001<\/td>\nLink<\/a><\/td>\n3<\/td>\nQ2<\/td>\n<\/tr>\n
59<\/td>\nPatra, S; Saha, A; Pal, SC; Islam, AMT; Halder, K; Srivastava, AK; Pande, CB; Islam, A; Costache, R; Alam, E; Islam, MK<\/td>\nHighlighting the role of traditional paddy for sustainable agriculture and livelihood: issues, policy intervention and the pathways<\/td>\nDISCOVER SUSTAINABILITY, Volume 6, Issue 1<\/td>\n2025<\/td>\n17<\/td>\nWOS:001447639500001<\/td>\nLink<\/a><\/td>\n3<\/td>\nQ2<\/td>\n<\/tr>\n
60<\/td>\nChakrabortty, R; Pramanik, M; Ali, T; Islam, AMT; Pande, CB; Costache, R; Abioui, M<\/td>\nAdvanced neural network approaches for optimal check dam site selection in sub-tropical climates<\/td>\nADVANCES IN SPACE RESEARCH, Volume 76, Issue 1<\/td>\n2025<\/td>\n20<\/td>\nWOS:001507094800001<\/td>\nLink<\/a><\/td>\n2.8<\/td>\nQ1<\/td>\n<\/tr>\n
61<\/td>\nKumar, R; Devrani, R; Pandey, M; Deshmukh, B; Costache, R<\/td>\nSemi-automated pixel and OBIA based approaches for gully feature extraction in the lower Chambal River basin, central India<\/td>\nINTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT (early access)<\/td>\n2025<\/td>\n23<\/td>\nWOS:001519694600001<\/td>\nLink<\/a><\/td>\n1.9<\/td>\nQ3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/et_pb_tab][et_pb_tab title=”BDI Pulications” _builder_version=”4.27.4″ body_font=”||||” body_line_height=”2em” tab_font=”||||” background_size=”initial” background_position=”top_left” background_repeat=”repeat” hover_enabled=”0″ body_line_height_tablet=”2em” body_line_height_phone=”2em” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n\n\n\n\n\n\n\n\n\n\n
No.crt.<\/td>\nAuthors<\/td>\nArticle title<\/td>\nScientific journal and no.<\/td>\nYear<\/td>\nISSN<\/td>\n<\/tr>\n
1<\/td>\nHont S., Paraschiv M., Iani I. M., Cvijanovi\u0107 G., Smederavac -Lali\u0107 M.\u00a0<\/td>\nFish movement in relation to water temperature fluctuations in the Lower Danube River Iron Gate II dam area<\/td>\nScientific Annals of the Danube Delta Institute, vol. 27<\/td>\n2022<\/td>\nISSN: 2247-9902<\/td>\n<\/tr>\n
2<\/td>\nCovaliov S., Doroftei M., Mierl\u0103 M.,\u00a0 Trifanof C.<\/td>\nNatural vegetal resources of the Danube Delta territory – present status and trends<\/td>\nScientific Annals of the Danube Delta Institute, vol. 27<\/td>\n2022<\/td>\nISSN: 2247-9902<\/td>\n<\/tr>\n
3<\/td>\nHon\u021b S., Paraschiv M., Iani I. M., Holostenco Daniela Ni., Oprea L., Tudor I. M.<\/td>\nTracking adult sturgeons migration on Danube Delta branches using acoustic telemetry<\/td>\nScientific Annals of the Danube Delta Institute, vol. 28<\/td>\n2023<\/td>\nISSN: 2247-9902<\/td>\n<\/tr>\n
4<\/td>\nSmederevac-Lali\u0107 M., Cvijanovi\u0107, G., Nikoli\u0107 D., Lenhardt M., Hont S., Paraschiv M.,\u00a0 Iani M.,\u00a0 Baktoft H., Gjelland K., Redeker M., Gatzweiler J., Milovanovi\u0107 M., Cvijanovi\u0107N., H\u00f6dl E.,Masliah-Gilkarov H., Gessner J., Thorstad E., \u00d8kland F.\u00a0\u00a0<\/td>\nWEPASS Project – Making the Iron Gate Dams passable for migratory fish.<\/td>\nDanube News – December 2023 – No. 48 – Volume 25<\/td>\n2023<\/td>\nISSN 2070-1292<\/td>\n<\/tr>\n
5<\/td>\nCostache R., Cr\u0103ciun A., Ciobotaru N., Mishra A. P.<\/td>\nFlood susceptibility in Danube Delta using Fuzzy Logic and GIS<\/td>\nScientific Annals of the Danube Delta Institute, vol. 28<\/td>\n2023<\/td>\nISSN: 2247-9902<\/td>\n<\/tr>\n
6<\/td>\nHon\u021b \u0218., Paraschiv M., Iani I.M., N\u0103stase A.<\/td>\nAssessing the potential impact resulting from the capture and handling of adult migratory sturgeons in the Lower Danube River\u00a0<\/td>\nScientific Annals of the Danube Delta Institute, vol. 29<\/td>\n2024<\/td>\nISSN: 2247-9902<\/td>\n<\/tr>\n
7<\/td>\n\u00a0Ciobotaru N., Cr\u0103ciun A., Costache R.<\/td>\nFlood hazard assessment in the Danube Delta using 2D hydraulic modeling<\/td>\nScientific Annals of the Danube Delta Institute, vol. 30<\/td>\n2025<\/td>\nISSN: 2247-9902<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/et_pb_tab][et_pb_tab title=”Citations” _builder_version=”4.27.4″ body_font=”||||” body_line_height=”2em” tab_font=”||||” background_size=”initial” background_position=”top_left” background_repeat=”repeat” hover_enabled=”0″ body_line_height_tablet=”2em” body_line_height_phone=”2em” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
No. crt.<\/td>\nAuthors<\/td>\nTitle<\/td>\nScientific journal and no.<\/td>\nYear<\/td>\n\u00a0Article Link\/DOI<\/td>\nNo. of WOS citations\u00a0 in 2020-2026 period<\/td>\n2020<\/td>\n2021<\/td>\n2022<\/td>\n2023<\/td>\n2024<\/td>\n2025<\/td>\n<\/tr>\n
1<\/td>\nNiculescu S.; Boissonnat J.-B.; Lardeux C.; Roberts D.; Hanganu J.; Billey A.; Constantinescu A.; Doroftei M.<\/td>\nSynergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the Danube Delta<\/td>\nREMOTE SENSING, Volume 12,\u00a0 Issue 14<\/td>\n2020<\/td>\nLink<\/a><\/td>\n37<\/td>\n3<\/td>\n4<\/td>\n8<\/td>\n6<\/td>\n6<\/td>\n10<\/td>\n<\/tr>\n
2<\/td>\nT\u00eerl\u0103 L.; Dr\u0103gu\u0219in V.; Bajo P.; Covaliov S.; Cruceru N.; Ersek V.; Hanganu D.; Hellstrom J.; Hoffmann D.; Mirea I.; Sava T.; Sava G.; \u015eandric I.<\/td>\nQuaternary environmental evolution in the South Carpathians reconstructed from glaciokarst geomorphology and sedimentary archives<\/td>\nGEOMORPHOLOGY, Volume 354<\/td>\n2020<\/td>\nLink<\/a><\/td>\n9<\/td>\n1<\/td>\n3<\/td>\n2<\/td>\n1<\/td>\n1<\/td>\n1<\/td>\n<\/tr>\n
3<\/td>\nBirk S.; Chapman D.; Carvalho L.; Spears B.M.; Andersen H.E.; Argillier C.; Auer S.; Baattrup-Pedersen A.; Banin L.; Beklio\u011flu M.; Bondar-Kunze E.; Borja A.; Branco P.; Bucak T.; Buijse A.D.; Cardoso A.C.; Couture R.-M.; Cremona F.; de Zwart D.; Feld C.K.; Ferreira M.T.; Feuchtmayr H.; Gessner M.O.; Gieswein A.; Globevnik L.; Graeber D.; Graf W.; Guti\u00e9rrez-C\u00e1novas C.; Hanganu J.; I\u015fk\u0131n U.; J\u00e4rvinen M.; Jeppesen E.; Kotam\u00e4ki N.; Kuijper M.; Lemm J.U.; Lu S.; Solheim A.L.; Mischke U.; Moe S.J.; N\u00f5ges P.; N\u00f5ges T.; Ormerod S.J.; Panagopoulos Y.; Phillips G.; Posthuma L.; Pouso S.; Prudhomme C.; Rankinen K.; Rasmussen J.J.; Richardson J.; Sagouis A.; Santos J.M.; Sch\u00e4fer R.B.; Schinegger R.; Schmutz S.; Schneider S.C.; Sch\u00fclting L.; Segurado P.; Stefanidis K.; Sures B.; Thackeray S.J.; Turunen J.; Uyarra M.C.; Venohr M.; von der Ohe P.C.; Willby N.; Hering D.<\/td>\nImpacts of multiple stressors on freshwater biota across spatial scales and ecosystems<\/td>\nNATURE ECOLOGY & EVOLUTION, Volume 4, Issue 8<\/td>\n2020<\/td>\nLink<\/a><\/td>\n440<\/td>\n13<\/td>\n85<\/td>\n89<\/td>\n100<\/td>\n100<\/td>\n53<\/td>\n<\/tr>\n
4<\/td>\nYousefi S.; Avand M.; Yariyan P.; Jahanbazi Goujani H.; Costache R.; Tavangar S.; Tiefenbacher J.P.<\/td>\nIdentification of the most suitable afforestation sites by Juniperus excels specie using machine learning models: Firuzkuh semi-arid region, Iran<\/td>\nECOLOGICAL INFORMATICS, Volume 65<\/td>\n2021<\/td>\nLink<\/a><\/td>\n14<\/td>\n<\/td>\n<\/td>\n2<\/td>\n8<\/td>\n1<\/td>\n3<\/td>\n<\/tr>\n
5<\/td>\nHa D.H.; Nguyen P.T.; Costache R.; Al-Ansari N.; Van Phong T.; Nguyen H.D.; Amiri M.; Sharma R.; Prakash I.; Van Le H.; Nguyen H.B.T.; Pham B.T.<\/td>\nQuadratic Discriminant Analysis Based Ensemble Machine Learning Models for Groundwater Potential Modeling and Mapping<\/td>\nWATER RESOURCES MANAGEMENT, Volume 35, Issue 13<\/td>\n2021<\/td>\nLink<\/a><\/td>\n19<\/td>\n<\/td>\n2<\/td>\n7<\/td>\n1<\/td>\n5<\/td>\n4<\/td>\n<\/tr>\n
6<\/td>\nPham B.T.; Van Dao D.; Acharya T.D.; Van Phong T.; Costache R.; Van Le H.; Nguyen H.B.T.; Prakash I.<\/td>\nPerformance assessment of artificial neural network using chi-square and backward elimination feature selection methods for landslide susceptibility analysis<\/td>\nENVIRONMENTAL EARTH SCIENCES, Volume 80, Issue 20<\/td>\n2021<\/td>\nLink<\/a><\/td>\n24<\/td>\n<\/td>\n<\/td>\n8<\/td>\n3<\/td>\n8<\/td>\n5<\/td>\n<\/tr>\n
7<\/td>\nPandey M.; Arora A.; Arabameri A.; Costache R.; Kumar N.; Mishra V.N.; Nguyen H.; Mishra J.; Siddiqui M.A.; Ray Y.; Soni S.; Shukla U.K.<\/td>\nFlood Susceptibility Modeling in a Subtropical Humid Low-Relief Alluvial Plain Environment: Application of Novel Ensemble Machine Learning Approach<\/td>\nFRONTIERS IN EARTH SCIENCE, Volume 9<\/td>\n2021<\/td>\nLink<\/a><\/td>\n34<\/td>\n<\/td>\n<\/td>\n8<\/td>\n4<\/td>\n9<\/td>\n13<\/td>\n<\/tr>\n
8<\/td>\nHon\u0163 S.; Oprea D.; Oprea L.<\/td>\nHistorical Overview of Sturgeon Fishery in the Lower Danube River<\/td>\nACTA ZOOLOGICA BULGARICA, Volume 73, Issue 1<\/td>\n2021<\/td>\nLink<\/a><\/td>\n0<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
9<\/td>\nDorondel, Stefan; Serban, Stelu; Tudor, Marian<\/td>\nEcological Restoration in Liquid Societies Lessons from Eastern Europe<\/td>\nNATURE + CULTURE, Volume 16, Issue 2<\/td>\n2021<\/td>\nLink<\/a><\/td>\n7<\/td>\n<\/td>\n<\/td>\n<\/td>\n2<\/td>\n2<\/td>\n3<\/td>\n<\/tr>\n
10<\/td>\nDr\u0103gu\u0219in V.; T\u00eerl\u0103 L.; Covaliov S.; Cruceru N.; Mirea I.C.; \u015eandric I.<\/td>\nThe unique topography from Obanul Mare (Mangalia, SE Romania): remnant of a maze cave<\/td>\nGEOMORPHOLOGIE-RELIEF, PROCESSUS, ENVIRONNEMENT, Volume 27, Issue 3<\/td>\n2021<\/td>\nLink<\/a><\/td>\n5<\/td>\n<\/td>\n<\/td>\n<\/td>\n1<\/td>\n2<\/td>\n2<\/td>\n<\/tr>\n
11<\/td>\nLenhardt M.B.; Smederevac-Lali\u0107 M.M.; Spasi\u0107 S.Z.; Hon\u0163 \u015e.; Paraschiv M.; Iani M.I.; Nik\u010devi\u0107 M.V.; Klimley P.A.; Suciu R.<\/td>\nSeasonal changes in depth position and temperature of European catfish (Silurus glanis) tracked by acoustic telemetry in the Danube River<\/td>\nINTERNATIONAL REVIEW OF HYDROBIOLOGY, Volume 106, Issue 3-4<\/td>\n2021<\/td>\nLink<\/a><\/td>\n6<\/td>\n<\/td>\n1<\/td>\n1<\/td>\n1<\/td>\n2<\/td>\n1<\/td>\n<\/tr>\n
12<\/td>\nCostache R.; Arabameri A.; Costache I.; Cr\u0103ciun A.; Pham B.T.<\/td>\nNew Machine Learning Ensemble for Flood Susceptibility Estimation<\/td>\nWATER RESOURCES MANAGEMENT, Volume 36, Issue 12<\/td>\n2022<\/td>\nLink<\/a><\/td>\n22<\/td>\n<\/td>\n<\/td>\n2<\/td>\n2<\/td>\n8<\/td>\n10<\/td>\n<\/tr>\n
13<\/td>\nManzar M.S.; Benaafi M.; Costache R.; Alagha O.; Mu’azu N.D.; Zubair M.; Abdullahi J.; Abba S.I.<\/td>\nNew generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia<\/td>\nECOLOGICAL INFORMATICS, Volume 70<\/td>\n2022<\/td>\nLink<\/a><\/td>\n38<\/td>\n<\/td>\n<\/td>\n5<\/td>\n13<\/td>\n15<\/td>\n5<\/td>\n<\/tr>\n
14<\/td>\nCr\u0103ciun A.; Costache R.; B\u0103rbulescu A.; Pal S.C.; Costache I.; Dumitriu C.\u00da.<\/td>\nModern Techniques for Flood Susceptibility Estimation across the Deltaic Region (Danube Delta) from the Black Sea’s Romanian Sector<\/td>\nJOURNAL OF MARINE SCIENCE AND ENGINEERING, Volume 10, Issue 8<\/td>\n2022<\/td>\nLink<\/a><\/td>\n10<\/td>\n<\/td>\n<\/td>\n1<\/td>\n1<\/td>\n6<\/td>\n2<\/td>\n<\/tr>\n
15<\/td>\nShang L.; Nguyen H.; Bui X.-N.; Vu T.H.; Costache R.; Hanh L.T.M.<\/td>\nToward state-of-the-art techniques in predicting and controlling slope stability in open-pit mines based on limit equilibrium analysis, radial basis function neural network, and brainstorm optimization<\/td>\nACTA GEOTECHNICA,\u00a0 Volume 17, Issue 4<\/td>\n2022<\/td>\nLink<\/a><\/td>\n23<\/td>\n<\/td>\n<\/td>\n3<\/td>\n8<\/td>\n10<\/td>\n2<\/td>\n<\/tr>\n
16<\/td>\nCostache R.; Arabameri A.; Costache I.; Cr\u0103ciun A.; Md Towfiqul Islam A.R.; Abba S.I.; Sahana M.; Pham B.T.<\/td>\nFlood susceptibility evaluation through deep learning optimizer ensembles and GIS techniques<\/td>\nJOURNAL OF ENVIRONMENTAL MANAGEMENT, Volume 316<\/td>\n2022<\/td>\nLink<\/a><\/td>\n24<\/td>\n<\/td>\n<\/td>\n3<\/td>\n5<\/td>\n9<\/td>\n7<\/td>\n<\/tr>\n
17<\/td>\nCostache R.; Trung Tin T.; Arabameri A.; Cr\u0103ciun A.; Ajin R.S.; Costache I.; Reza Md. Towfiqul Islam A.; Abba S.I.; Sahana M.; Avand M.; Thai Pham B.<\/td>\nFlash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis<\/td>\nJOURNAL OF HYDROLOGY, Volume 609<\/td>\n2022<\/td>\nLink<\/a><\/td>\n68<\/td>\n<\/td>\n<\/td>\n15<\/td>\n24<\/td>\n18<\/td>\n11<\/td>\n<\/tr>\n
18<\/td>\nNguyen M.D.; Costache R.; Sy A.H.; Ahmadzadeh H.; Van Le H.; Prakash I.; Pham B.T.<\/td>\nNovel approach for soil classification using machine learning methods<\/td>\nBULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, Volume 81, Issue 11<\/td>\n2022<\/td>\nLink<\/a><\/td>\n21<\/td>\n<\/td>\n<\/td>\n<\/td>\n7<\/td>\n10<\/td>\n4<\/td>\n<\/tr>\n
19<\/td>\nWen T.; Tiewang W.; Arabameri A.; Asadi Nalivan O.; Pal S.C.; Saha A.; Costache R.<\/td>\nLand-subsidence susceptibility mapping: assessment of an adaptive neuro-fuzzy inference system-genetic algorithm hybrid model<\/td>\nGEOCARTO INTERNATIONAL, Volume 37, Issue 26<\/td>\n2022<\/td>\nLink<\/a><\/td>\n7<\/td>\n<\/td>\n<\/td>\n<\/td>\n2<\/td>\n2<\/td>\n3<\/td>\n<\/tr>\n
20<\/td>\nCostache R.; Tin T.T.; Arabameri A.; Cr\u0103ciun A.; Costache I.; Islam A.R.M.T.; Sahana M.; Pham B.T.<\/td>\nStacking state-of-the-art ensemble for flash-flood potential assessment<\/td>\nGEOCARTO INTERNATIONAL, Volume 37, Issue 26<\/td>\n2022<\/td>\nLink<\/a><\/td>\n13<\/td>\n<\/td>\n<\/td>\n1<\/td>\n4<\/td>\n5<\/td>\n3<\/td>\n<\/tr>\n
21<\/td>\nAbdo H.G.; Almohamad H.; Al Dughairi A.A.; Ali S.A.; Parvin F.; Elbeltagi A.; Costache R.; Mohammed S.; Al-Mutiry M.; Alsafadi K.<\/td>\nSpatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous Governorate, Syria<\/td>\nGEOSCIENCE LETTERS, Volume 9, Issue 1<\/td>\n2022<\/td>\nLink<\/a><\/td>\n22<\/td>\n<\/td>\n<\/td>\n<\/td>\n4<\/td>\n10<\/td>\n8<\/td>\n<\/tr>\n
22<\/td>\nYu H.; Arabameri A.; Costache R.; Cr\u0103ciun A.; Arora A.<\/td>\nLand subsidence susceptibility assessment using advanced artificial intelligence models<\/td>\nGEOCARTO INTERNATIONAL, Volume 37, Issue 27<\/td>\n2022<\/td>\nLink<\/a><\/td>\n8<\/td>\n<\/td>\n<\/td>\n<\/td>\n3<\/td>\n2<\/td>\n3<\/td>\n<\/tr>\n
23<\/td>\nBien T.X.; Truyen P.T.; Phong T.V.; Nguyen D.D.; Amiri M.; Costache R.; Duc D.M.; Le H.V.; Nguyen H.B.T.; Prakash I.; Pham B.T.<\/td>\nLandslide susceptibility mapping at sin Ho, Lai Chau province, Vietnam using ensemble models based on fuzzy unordered rules induction algorithm<\/td>\nGEOCARTO INTERNATIONAL, Volume 37, Issue 27<\/td>\n2022<\/td>\nLink<\/a><\/td>\n12<\/td>\n<\/td>\n<\/td>\n<\/td>\n5<\/td>\n5<\/td>\n2<\/td>\n<\/tr>\n
24<\/td>\nCostache R.; Ali S.A.; Parvin F.; Pham Q.B.; Arabameri A.; Nguyen H.; Cr\u0103ciun A.; Anh D.T.<\/td>\nDetection of areas prone to flood-induced landslides risk using certainty factor and its hybridization with FAHP, XGBoost and deep learning neural network<\/td>\nGEOCARTO INTERNATIONAL, Volume 37, Issue 25<\/td>\n2022<\/td>\nLink<\/a><\/td>\n26<\/td>\n<\/td>\n<\/td>\n4<\/td>\n4<\/td>\n12<\/td>\n6<\/td>\n<\/tr>\n
25<\/td>\nCostache R.; Pham Q.B.; Arabameri A.; Diaconu D.C.; Costache I.; Cr\u0103ciun A.; Ciobotaru N.; Pandey M.; Arora A.; Ali S.A.; Pham B.T.; Nguyen H.; Tuan H.A.; Avand M.<\/td>\nFlash-flood propagation susceptibility estimation using weights of evidence and their novel ensembles with multicriteria decision making and machine learning<\/td>\nGEOCARTO INTERNATIONAL, Volume 37, Issue 25<\/td>\n2022<\/td>\nLink<\/a><\/td>\n30<\/td>\n<\/td>\n1<\/td>\n7<\/td>\n4<\/td>\n11<\/td>\n7<\/td>\n<\/tr>\n
26<\/td>\n\u00a0Hon\u021b S.,Paraschiv M., Iani I.M.<\/td>\nPreliminary migratory fish habitats assessment along the Danube River sector km 863-375<\/td>\nNORTH-WESTERN JOURNAL OF ZOOLOGY, Volume 18, Issue 1<\/td>\n2022<\/td>\nLink<\/a><\/td>\n1<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/td>\n<\/tr>\n
27<\/td>\nAjin R.S.; Saha S.; Saha A.; Biju A.; Costache R.; Kuriakose S.L.<\/td>\nEnhancing the Accuracy of the REPTree by Integrating the Hybrid Ensemble Meta-Classifiers for Modelling the Landslide Susceptibility of Idukki District, South-western India<\/td>\nJOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, Volume 50, Issue 11<\/td>\n2022<\/td>\nLink<\/a><\/td>\n21<\/td>\n<\/td>\n<\/td>\n1<\/td>\n5<\/td>\n9<\/td>\n6<\/td>\n<\/tr>\n
28<\/td>\nHilton E.J.; Dillman C.B.; Paraschiv M.; Suciu R.<\/td>\nCranial morphology of the Stellate Sturgeon,Acipenser stellatusPallas 1771 (Acipenseriformes, Acipenseridae), with notes on the skulls of other sturgeons<\/td>\nACTA ZOOLOGICA, Volume 103, Issue 1<\/td>\n2022<\/td>\nLink<\/a><\/td>\n5<\/td>\n<\/td>\n<\/td>\n2<\/td>\n0<\/td>\n0<\/td>\n3<\/td>\n<\/tr>\n
29<\/td>\nMia M.U.; Rahman M.; Elbeltagi A.; Abdullah-Al-Mahbub M.; Sharma G.; Islam H.M.T.; Pal S.C.; Costache R.; Islam A.R.M.T.; Islam M.M.; Chen N.; Alam E.; Washakh R.M.A.<\/td>\nSustainable flood risk assessment using deep learning-based algorithms with a blockchain technology<\/td>\nGeocarto International, Volume 38, Issue 1<\/td>\n2022<\/td>\nLink<\/a><\/td>\n17<\/td>\n<\/td>\n<\/td>\n1<\/td>\n3<\/td>\n8<\/td>\n5<\/td>\n<\/tr>\n
30<\/td>\nRuidas D.; Saha A.; Islam A.R.M.T.; Costache R.; Pal S.C.<\/td>\nDevelopment of geo-environmental factors controlled flash flood hazard map for emergency relief operation in complex hydro-geomorphic environment of tropical river, India<\/td>\nENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,\u00a0 Volume 30, Issue 49<\/td>\n2023<\/td>\nLink<\/a><\/td>\n32<\/td>\n<\/td>\n<\/td>\n2<\/td>\n13<\/td>\n15<\/td>\n2<\/td>\n<\/tr>\n
31<\/td>\nPal S.C.; Chakrabortty R.; Towfiqul Islam A.R.M.; Roy P.; Chowdhuri I.; Saha A.; Islam A.; Costache R.; Alam E.<\/td>\nLand use and climate change-induced soil erosion mapping in a sub-tropical environment<\/td>\nGEOMATICS NATURAL HAZARDS & RISK,\u00a0 Volume 14, Issue 1<\/td>\n2023<\/td>\nLink<\/a><\/td>\n7<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n4<\/td>\n3<\/td>\n<\/tr>\n
32<\/td>\nSenan C.P.C.; Ajin R.S.; Danumah J.H.; Costache R.; Arabameri A.; Rajaneesh A.; Sajinkumar K.S.; Kuriakose S.L.<\/td>\nFlood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models<\/td>\nSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,\u00a0 Volume 37, Issue 2<\/td>\n2023<\/td>\nLink<\/a><\/td>\n41<\/td>\n<\/td>\n<\/td>\n1<\/td>\n6<\/td>\n18<\/td>\n16<\/td>\n<\/tr>\n
33<\/td>\nBiswas T.; Pal S.C.; Ruidas D.; Saha A.; Shit M.; Islam A.R.M.T.; Islam A.; Costache R.<\/td>\nEvaluation of groundwater contamination and associated human health risk in a water-scarce hard rock-dominated region of India: Issues, management measures and policy recommendation<\/td>\nGROUNDWATER FOR SUSTAINABLE DEVELOPMENT, Volume 23<\/td>\n2023<\/td>\nLink<\/a><\/td>\n3<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n2<\/td>\n1<\/td>\n<\/tr>\n
34<\/td>\nBien T.X.; Iqbal M.; Jamal A.; Nguyen D.D.; Van Phong T.; Costache R.; Ho L.S.; Van Le H.; Nguyen H.B.T.; Prakash I.; Pham B.T.<\/td>\nIntegration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas<\/td>\nSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,\u00a0 Volume 37, Issue 12<\/td>\n2023<\/td>\nLink<\/a><\/td>\n11<\/td>\n<\/td>\n<\/td>\n<\/td>\n1<\/td>\n4<\/td>\n6<\/td>\n<\/tr>\n
35<\/td>\nSinha A.; Nikhil S.; Ajin R.S.; Danumah J.H.; Saha S.; Costache R.; Rajaneesh A.; Sajinkumar K.S.; Amrutha K.; Johny A.; Marzook F.; Mammen P.C.; Abdelrahman K.; Fnais M.S.; Abioui M.<\/td>\nWildfire Risk Zone Mapping in Contrasting Climatic Conditions: An Approach Employing AHP and F-AHP Models<\/td>\nFIRE-SWITZERLAND, Volume 6, Issue 2<\/td>\n2023<\/td>\nLink<\/a><\/td>\n30<\/td>\n<\/td>\n<\/td>\n<\/td>\n9<\/td>\n13<\/td>\n8<\/td>\n<\/tr>\n
36<\/td>\nChandra N.; Singh G.; Rai I.D.; Mishra A.P.; Kazmi M.Y.; Pandey A.; Jalal J.S.; Costache R.; Almohamad H.; Al-Mutiry M.; Abdo H.G.<\/td>\nPredicting Distribution and Range Dynamics of Three Threatened Cypripedium Species under Climate Change Scenario in Western Himalaya<\/td>\nFORESTS, Volume 14, Issue 3<\/td>\n2023<\/td>\nLink<\/a><\/td>\n12<\/td>\n<\/td>\n<\/td>\n<\/td>\n5<\/td>\n6<\/td>\n1<\/td>\n<\/tr>\n
37<\/td>\nPandey A.; Shekhar Sarkar M.; Palni S.; Parashar D.; Singh G.; Kaushik S.; Chandra N.; Costache R.; Pratap Singh A.; Pratap Mishra A.; Almohamad H.; Al-Mutiry M.; Abdo H.G.<\/td>\nMultivariate statistical algorithms for landslide susceptibility assessment in Kailash Sacred landscape, Western Himalaya<\/td>\nGEOMATICS NATURAL HAZARDS & RISK,\u00a0 Volume 14, Issue 1<\/td>\n2023<\/td>\nLink<\/a><\/td>\n10<\/td>\n<\/td>\n<\/td>\n<\/td>\n2<\/td>\n6<\/td>\n2<\/td>\n<\/tr>\n
38<\/td>\nShelar R.S.; Nandgude S.B.; Pande C.B.; Costache R.; El-Hiti G.A.; Tolche A.D.; Son C.T.; Yadav K.K.<\/td>\nUnlocking the hidden potential: groundwater zone mapping using AHP, remote sensing and GIS techniques<\/td>\nGEOMATICS NATURAL HAZARDS & RISK,\u00a0 Volume 14, Issue 1<\/td>\n2023<\/td>\nLink<\/a><\/td>\n18<\/td>\n<\/td>\n<\/td>\n<\/td>\n1<\/td>\n11<\/td>\n6<\/td>\n<\/tr>\n
39<\/td>\nJannat J.N.; Mia M.Y.; Jion M.M.M.F.; Islam M.S.; Ali M.M.; Siddique M.A.B.; Rakib M.R.J.; Ibrahim S.M.; Pal S.C.; Costache R.; Malafaia G.; Islam A.R.M.T.<\/td>\nPollution trends and ecological risks of heavy metal(loid)s in coastal zones of Bangladesh: A chemometric review<\/td>\nMARINE POLLUTION BULLETIN, Volume 191<\/td>\n2023<\/td>\nLink<\/a><\/td>\n45<\/td>\n<\/td>\n<\/td>\n<\/td>\n5<\/td>\n26<\/td>\n14<\/td>\n<\/tr>\n
40<\/td>\nCostache R.; Abdo H.G.; Pratap Mishra A.; Pal S.C.; Islam A.R.M.T.; Pande C.B.; Almohamad H.; Abdullah Al Dughairi A.; Albanai J.A.<\/td>\nUsing fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, Romania<\/td>\nGEOMATICS NATURAL HAZARDS & RISK,\u00a0 Volume 14, Issue 1<\/td>\n2023<\/td>\nLink<\/a><\/td>\n8<\/td>\n<\/td>\n<\/td>\n<\/td>\n1<\/td>\n3<\/td>\n4<\/td>\n<\/tr>\n
41<\/td>\nMia M.U.; Chowdhury T.N.; Chakrabortty R.; Pal S.C.; Al-Sadoon M.K.; Costache R.; Islam A.R.M.T.<\/td>\nFlood Susceptibility Modeling Using an Advanced Deep Learning-Based Iterative Classifier Optimizer<\/td>\nLAND, Volume 12, Issue 4<\/td>\n2023<\/td>\nLink<\/a><\/td>\n12<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n5<\/td>\n7<\/td>\n<\/tr>\n
42<\/td>\nBiswas T.; Pal S.C.; Ruidas D.; Islam A.R.M.T.; Saha A.; Costache R.; Shit M.<\/td>\nModelling of groundwater potential zone in hard rock-dominated drought-prone region of eastern India using integrated geospatial approach<\/td>\nENVIRONMENTAL EARTH SCIENCES, Volume 82, Issue 3<\/td>\n2023<\/td>\nLink<\/a><\/td>\n14<\/td>\n<\/td>\n<\/td>\n<\/td>\n4<\/td>\n10<\/td>\n<\/td>\n<\/tr>\n
43<\/td>\nNgo H.T.T.; Dam N.D.; Bui Q.-A.T.; Al-Ansari N.; Costache R.; Ha H.; Bui Q.D.; Mai S.H.; Prakash I.; Pham B.T.<\/td>\nPrediction of Flash Flood Susceptibility of Hilly Terrain Using Deep Neural Network: A Case Study of Vietnam<\/td>\nCMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, Volume 135, Issue 3<\/td>\n2023<\/td>\nLink<\/a><\/td>\n5<\/td>\n<\/td>\n<\/td>\n<\/td>\n2<\/td>\n2<\/td>\n1<\/td>\n<\/tr>\n
44<\/td>\nBhagya S.B.; Sumi A.S.; Balaji S.; Danumah J.H.; Costache R.; Rajaneesh A.; Gokul A.; Chandrasenan C.P.; Quevedo R.P.; Johny A.; Sajinkumar K.S.; Saha S.; Ajin R.S.; Mammen P.C.; Abdelrahman K.; Fnais M.S.; Abioui M.<\/td>\nLandslide Susceptibility Assessment of a Part of the Western Ghats (India) Employing the AHP and F-AHP Models and Comparison with Existing Susceptibility Maps<\/td>\nLAND, Volume 12, Issue 2<\/td>\n2023<\/td>\nLink<\/a><\/td>\n36<\/td>\n<\/td>\n<\/td>\n<\/td>\n7<\/td>\n17<\/td>\n12<\/td>\n<\/tr>\n
45<\/td>\nRashid M.; Haider S.; Masood M.U.; Pande C.B.; Tolche A.D.; Alshehri F.; Costache R.; Elkhrachy I.<\/td>\nSustainable Water Management for Small Farmers with Center-Pivot Irrigation: A Hydraulic and Structural Design Perspective<\/td>\nSUSTAINABILITY, Volume 15, Issue 3<\/td>\n2023<\/td>\nLink<\/a><\/td>\n6<\/td>\n<\/td>\n<\/td>\n<\/td>\n1<\/td>\n4<\/td>\n1<\/td>\n<\/tr>\n
46<\/td>\nHaider S.; Masood M.U.; Rashid M.; Alshehri F.; Pande C.B.; Katipo\u011flu O.M.; Costache R.<\/td>\nSimulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios<\/td>\nWATER, Volume 15, Issue 19<\/td>\n2023<\/td>\nLink<\/a><\/td>\n30<\/td>\n<\/td>\n<\/td>\n<\/td>\n6<\/td>\n13<\/td>\n11<\/td>\n<\/tr>\n
47<\/td>\nHabib M.A.; Islam A.R.M.T.; Varol M.; Phoungthong K.; Khan R.; Islam M.S.; Hasanuzzaman M.; Mia M.Y.; Costache R.; Pal S.C.<\/td>\nReceptor model-based source-specific health risks of toxic metal(loid)s in coal basin-induced agricultural soil in northwest Bangladesh<\/td>\nENVIRONMENTAL GEOCHEMISTRY AND HEALTH, Volume 45, Issue 11<\/td>\n2023<\/td>\nLink<\/a><\/td>\n27<\/td>\n<\/td>\n<\/td>\n<\/td>\n3<\/td>\n14<\/td>\n10<\/td>\n<\/tr>\n
48<\/td>\nPande C.B.; Costache R.; Sammen S.S.; Noor R.; Elbeltagi A.<\/td>\nCombination of data-driven models and best subset regression for predicting the standardized precipitation index (SPI) at the Upper Godavari Basin in India<\/td>\nTHEORETICAL AND APPLIED CLIMATOLOGY, Volume 152, Issue 1-2<\/td>\n2023<\/td>\nLink<\/a><\/td>\n22<\/td>\n<\/td>\n<\/td>\n<\/td>\n4<\/td>\n14<\/td>\n4<\/td>\n<\/tr>\n
49<\/td>\nImdad K.; Rihan M.; Sahana M.; Parween S.; Ahmed R.; Costache R.; Chaudhary A.; Tripathi R.<\/td>\nWetland health, water quality, and resident perceptions of declining ecosystem services: a case study of Mount Abu, Rajasthan, India<\/td>\nEnvironmental Science and Pollution Research, Volume 30, Issue 55<\/td>\n2023<\/td>\nLink<\/a><\/td>\n35<\/td>\n<\/td>\n<\/td>\n4<\/td>\n10<\/td>\n16<\/td>\n5<\/td>\n<\/tr>\n
50<\/td>\nTuyen T.T.; Al-Ansari N.; Nguyen D.D.; Le H.M.; Phan T.N.Q.; Prakash I.; Costache R.; Pham B.T.<\/td>\nPrediction of white spot disease susceptibility in shrimps using decision trees based machine learning models<\/td>\nAPPLIED WATER SCIENCE, Volume 14, Issue 1<\/td>\n2024<\/td>\nLink<\/a><\/td>\n1<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
51<\/td>\nDiaconu D.C.; Costache R.; Towfiqul Islam A.R.M.; Pandey M.; Pal S.C.; Mishra A.P.; Pande C.B.<\/td>\nDeveloping flood mapping procedure through optimized machine learning techniques. Case study: Prahova river basin, Romania<\/td>\nJOURNAL OF HYDROLOGY-REGIONAL STUDIES, Volume 54<\/td>\n2024<\/td>\nLink<\/a><\/td>\n7<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n3<\/td>\n4<\/td>\n<\/tr>\n
52<\/td>\nPande C.B.; Egbueri J.C.; Costache R.; Sidek L.M.; Wang Q.; Alshehri F.; Din N.M.; Gautam V.K.; Chandra Pal S.<\/td>\nPredictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development<\/td>\nJOURNAL OF CLEANER PRODUCTION, Volume 444<\/td>\n2024<\/td>\nLink<\/a><\/td>\n42<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n13<\/td>\n29<\/td>\n<\/tr>\n
53<\/td>\nCostache R.; Arabameri A.; Costache I.; Cr\u0103ciun A.; Islam A.R.M.T.; Abba S.I.; Sahana M.; Pandey M.; Tin T.T.; Pham B.T.<\/td>\nFlood hazard potential evaluation using decision tree state-of-the-art models<\/td>\nRISK ANALYSIS,\u00a0 Volume 14, Issue 1<\/td>\n2024<\/td>\nLink<\/a><\/td>\n9<\/td>\n<\/td>\n<\/td>\n<\/td>\n1<\/td>\n7<\/td>\n1<\/td>\n<\/tr>\n
54<\/td>\nCostache R.; Pal S.C.; Pande C.B.; Islam A.R.M.T.; Alshehri F.; Abdo H.G.<\/td>\nFlood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning<\/td>\nAPPLIED WATER SCIENCE, Volume 14, Issue 4<\/td>\n2024<\/td>\nLink<\/a><\/td>\n16<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n4<\/td>\n12<\/td>\n<\/tr>\n
55<\/td>\nAlam M.M.; Akter M.Y.; Islam A.R.M.T.; Mallick J.; Kabir Z.; Chu R.; Arabameri A.; Pal S.C.; Masud M.A.A.; Costache R.; Senapathi V.<\/td>\nA review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models<\/td>\nJOURNAL OF ENVIRONMENTAL MANAGEMENT, Volume 351<\/td>\n2024<\/td>\nLink<\/a><\/td>\n21<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n10<\/td>\n11<\/td>\n<\/tr>\n
56<\/td>\nPandey A.; Parashar D.; Palni S.; Sarkar M.S.; Mishra A.P.; Singh A.P.; Costache R.; Abdulqadim T.J.; Pande C.B.; Tolche A.D.; Khan M.Y.A.<\/td>\nSpatiotemporal snowline status and climate variability impact assessment: a case study of Pindari River Basin, Kumaun Himalaya, India<\/td>\nENVIRONMENTAL SCIENCES EUROPE, Volume 36, Issue 1<\/td>\n2024<\/td>\nLink<\/a><\/td>\n1<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
57<\/td>\nCostache R.; Cr\u0103ciun A.; Ciobotaru N.; B\u0103rbulescu A.<\/td>\nIntelligent Methods for Estimating the Flood Susceptibility in the Danube Delta, Romania<\/td>\nWATER, Volume 16, Issue 23<\/td>\n2024<\/td>\nLink<\/a><\/td>\n3<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n3<\/td>\n<\/tr>\n
58<\/td>\nThanh B.N.; Van Phong T.; Trinh P.T.; Costache R.; Amiri M.; Nguyen D.D.; Le H.V.; Prakash I.; Pham B.T.<\/td>\nPrediction of coastal erosion susceptible areas of Quang Nam Province, Vietnam using machine learning models<\/td>\nEARTH SCIENCE INFORMATICS, Volume 17, Issue 1<\/td>\n2024<\/td>\nLink<\/a><\/td>\n2<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n1<\/td>\n1<\/td>\n<\/tr>\n
59<\/td>\nZhao L.; Wilson S.B.; Van Thieu N.; Zhou J.; Costache R.; Tran T.T.<\/td>\nA new intelligence model for evaluating clay compressibility in soft ground improvement: a combined approach of bees optimization and extreme learning machine<\/td>\nACTA GEOPHYSICA, Volume 72, Issue 2<\/td>\n2024<\/td>\nLink<\/a><\/td>\n2<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n2<\/td>\n<\/tr>\n
60<\/td>\nDandapat K.; Chatterjee U.; Das S.; Patra A.; Manna H.; Ghosh A.; Pal S.C.; Towfiqul Islam A.R.M.; Costache R.; Alam E.; Islam M.K.<\/td>\nAssessment of groundwater potential zones in data-scarce regions using GIS-based multicriteria decision making approach<\/td>\nGEOCARTO INTERNATIONAL, Volume 39, Issue 1<\/td>\n2024<\/td>\nLink<\/a><\/td>\n9<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/td>\n6<\/td>\n3<\/td>\n<\/tr>\n
61<\/td>\nJaydhar A.K.; Pal S.C.; Saha A.; Islam A.R.M.T.; Ruidas D.; Costache R.<\/td>\nHydrogeochemical properties of groundwater and associated human health hazards in coastal multiaquifers of India<\/td>\nEnvironmental Science and Pollution Research, Volume 31, Issue 12<\/td>\n2024<\/td>\nLink<\/a><\/td>\n9<\/td>\n<\/td>\n<\/td>\n<\/td>\n2<\/td>\n4<\/td>\n3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/et_pb_tab][et_pb_tab title=”Published Books and Book Chapters in Romania” _builder_version=”4.27.4″ _module_preset=”default”]<\/p>\n\n\n\n\n
Treatise\/book\/book chapter\/monograph title<\/td>\nEditure<\/td>\nISBN<\/td>\nLocality<\/td>\nYear<\/td>\nLink\u00a0<\/td>\n<\/tr>\n
Danube Migratory Fish Habitat Manual<\/td>\nEd.\u00a0 Centrul de informare tehnologica “Delta Dun\u0103rii”<\/td>\nISBN: 978-606-8896-02-1<\/td>\nTulcea<\/td>\n2021<\/td>\nLink<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/et_pb_tab][et_pb_tab title=”Performance Indicators” _builder_version=”4.27.4″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n\n\n\n\n\n\n\n\n
No. crt.<\/td>\nStatistics period 2020 \u2013 2025<\/td>\nValues<\/td>\n<\/tr>\n
1<\/td>\nNumber of articles published in WoS\/Scopus indexed journals, including proceedings<\/td>\n61 – WOS \/ 61 – SCOPUS<\/td>\n<\/tr>\n
2<\/td>\nCumulative impact factor of WoS indexed papers<\/td>\n224.842<\/td>\n<\/tr>\n
3<\/td>\nNumber of articles published in BDI indexed scientific journals, including proceedings<\/td>\n7<\/td>\n<\/tr>\n
4<\/td>\nNumber of published books and book chapters<\/td>\n1<\/td>\n<\/tr>\n
5<\/td>\nScientific \/ technical citations in specialized journals indexed by WoS\/Scopus<\/td>\n1490 – WOS \/ 1526 – SCOPUS<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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165 Babadag street, Tulcea 820112, Romania<\/p>\n

Monday – Thursday: 8.00 – 16.30 \/ Friday – 8.00 – 14.00<\/p>\n

Call Center: (+4) 0240 – 524 546<\/a> \/ (+4) 0240 – 524 548<\/a> \/ (+4) 0240 – 524 550, <\/a><\/p>\n

Phone (Secretary Office): (+4) 0240 – 531 520<\/a><\/p>\n

Fax: (+4) 0240 – 533 547<\/p>\n

e-mail: office@ddni.ro<\/a><\/p>\n

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General Director : Monday\u00a0 09.00<\/sup> – 11.00<\/sup><\/p>\n

Scientific Director: Tuesday 09.00 <\/sup>– 11.00<\/sup><\/p>\n

Technical Director: Wednesday<\/span>\u00a009.00<\/sup> – 11.00<\/sup><\/p>\n

Economic Director: Thursday<\/span>\u00a009.00<\/sup> – 11.00<\/sup><\/p>\n

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Registration for the audience is done by prior appointment by phone at:\u00a0 0240\/531520, int. 100 (secretariat) and by e-mail at: office@ddni.ro<\/a><\/sup><\/p>\n

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[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

No. crt. Authors Article title Scientific journal and no. Year No. pag. WOS Article Link\u00a0 Impact Factor\u00a0 Quartiles of indexed journals 1 Niculescu S.; Boissonnat J.-B.; Lardeux C.; Roberts D.; Hanganu J.; Billey A.; Constantinescu A.; Doroftei M. Synergy of High-Resolution Radar and Optical Images Satellite for Identification and Mapping of Wetland Macrophytes on the […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":2989,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-3025","page","type-page","status-publish","hentry"],"yoast_head":"\nVisibility - Danube Delta National Institute for Research and Development<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ddni.ro\/wps\/departments\/ecological-restoration-and-species-recovery\/visibility\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Visibility - Danube Delta National Institute for Research and Development\" \/>\n<meta property=\"og:description\" content=\"No. crt. 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